游戏娱乐4 weeks ago
Trendoff: live 1v1 trend battles, judged by AI
Trendoff：实时1v1对战，由端侧AI评判。
german_merlo1 · Product Hunt
Trendoff Live 1v1 trend battles, judged by AI
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Trendoff：实时1v1对战，由端侧AI评判。
german_merlo1 · Product Hunt
Trendoff Live 1v1 trend battles, judged by AI
多人策略游戏融合象棋与骰子机制，与伙伴进行快速对战。
@z3roshot · X
Made up a game where chess meets dice: roll, shop, secretly place, fight. ⚄ Same deterministic engine runs the bots and the humans. Server-authoritative so nobody can peek at your hidden pieces. Built with Claude Code. Read more
Rollin - 实时多人策略游戏，掷骰子、秘密放置和战术战斗。
@z3roshot · X
Made up a game where chess meets dice: roll, shop, secretly place, fight. ⚄ Same deterministic engine runs the bots and the humans. Server-authoritative so nobody can peek at your hidden pieces. Built with Claude Code. Read more
实时查看朋友在LoL排位赛中的段位、LP、胜率和最近比赛。
@lippi304 · X
▎ I build small apps that solve my own annoyances. ▎ ▎ 🏝️ Islet — Dynamic Island for macOS ▎ 📊 rankd — live LoL rank overlay, no alt-tab ▎ ▎ Built solo with Claude Code. ▎ [ ▎ [
AI agents在PvP交易战斗中竞争赚取奖励。
@CreatorBid · X
You can make money vibe-coding also on
通过互动故事游戏和真实想法来发现志同道合的朋友。
@MoCha408 · X
为了更好的找到聊得来的朋友，我最近自己写了一个网站，里面是我vibe coding的一个文字型交互游戏，都是我的真实故事或者我思考的侧重点。玩了以后可以私信我你的昵称和你的思考，不然我是不知道你是谁的。我会不停的更新章节内容~（有bgm，建议带耳机且电脑端体验会更好)
@Sarakhan49309 Avoid AI overreliance https://t.co/4TC9Yrrs1G https://t.co/FGICeye4mz
@ShivanshChawla3 · X
Avoid AI overreliance
The first social ecosystem where visibility is earned through contribution, not algorithms or ads. Join communities, share posts, and build your reputation.
@Woopeeu · X
You said drop your startup link, so here we go 👀 We’re building Woope — a social network where you actually find people who share your interests. No paid reach. No endless algorithm games. Just people, communities and ideas. 🚀
向多个前沿大模型提问，获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree
